Adversarial Training in Videos. Previous works have taken an approach of adversarial training for domain adaptation and bias mitigation  [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}. The purpose of adversarial training is to encourage the model to learn features indicative of the original domain while also being invariant to the change in domains. With adversarial training, learned features may contribute to not only unbiased predictions but also better prediction performance.
